A cross-platform health and wellness app with adaptive AI coaching, wearable sync, and a launch-ready App Store release — engineered for millions of users and daily habit loops.
Every layer of FitPulse was shaped around one loop: nudge, act, learn. The stack was chosen to make that loop fast on any phone.
React Native shared core with Swift and Kotlin modules where the platform requires it — one product, real native feel on both stores.
Coaching prompts and plan adjustments driven by recent activity, adherence, and self-reported feedback — not a fixed script.
HealthKit on iOS, Google Fit on Android, and a normalization layer so plans and insights use the same signal regardless of device.
Streaks, weekly targets, and recovery days modeled server-side so a lost phone or reinstall never resets a user's progress.
Timed nudges, streak-save reminders, and re-engagement flows powered by a segmentation layer that respects quiet hours.
Product analytics wired through Segment to Amplitude, with error tracking through Sentry so regressions surfaced in hours, not weeks.
Four phases that treated release operations and QA as first-class from the first sprint.
Interviews, competitive teardown, and habit-loop modeling to lock the core screens and the daily user flow before code.
React Native core, native modules where needed, and a working prototype in-hand quickly so decisions were made against real behavior.
Weekly builds through Fastlane, device-lab QA on real iOS and Android hardware, and clean submission packages for both stores.
Staged rollouts, crash monitoring, and a post-launch cadence that turned analytics and reviews into the next sprint's backlog.
Mobile frameworks, native modules, backend services, and the release and analytics tooling that made shipping predictable.
Product surfaces the coaching engine, wearable sync, and analytics layer were designed to serve.
A short daily loop — nudge, action, log — that respects schedule and adapts as the user's streak grows or breaks.
Plans that adjust based on completion, recent effort, and reported energy, not a static PDF that never changes.
Sleep and heart-rate variability pulled from wearables and turned into clear signals for training and rest days.
Live activity and heart-rate data feed the coaching layer, so plans respond to what actually happened, not what was scheduled.
Meal logging and macro targets integrated with training load, with sensible defaults for users who do not want to count grams.
A weekly recap the user actually reads — trends, wins, and one concrete adjustment for the coming week.
Concrete shifts the product and release teams felt after FitPulse went live on both stores.
iOS and Android shipped with the same feature set on the same day, without a permanent lag between the two apps.
HealthKit and Google Fit both feed the same coaching layer, so device choice never limited what a user could get from the app.
Submission packages that passed review cleanly because privacy strings, permissions, and metadata matched the actual product behavior.
Users hit the daily loop more consistently after the streak and nudge engine went live, based on cohort activity data.
Consumer apps live or die on the first two weeks of use. We built FitPulse the way the App Store rewards — clean submission, honest analytics, and a real feedback loop into the next release.
Learn more about us →Real iOS and Android engineers, not just React Native generalists — because HealthKit and Google Fit require the native side.
Weekly TestFlight and internal Play builds so the product team saw what changed and what broke inside a normal week, not a release month.
Device-lab testing, submission packaging, and staged rollout were part of delivery — not something the client had to figure out at launch.
Segment plus Amplitude plus Sentry were wired in before the first internal build, so metrics existed the moment they mattered.
Practical answers on timeline, coaching, privacy, and how a health app like this actually reaches both stores.
Let's plan your launch. We'll scope the product, the platforms, and the App Store path — as one team.
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